Targeting of the CD161 inhibitory receptor enhances T-cell-mediated immunity against hematological malignancies.
Francesca Alvarez CalderonByong Ha KangOleksandr KyrysyukShiwei ZhengHao WangNathan D MathewsonAdrienne M LuomaXiaohan NingJason PyrdolXuan CaoMario L SuvàGuo-Cheng YuanK Dane WittrupKai W WucherpfennigPublished in: Blood (2024)
The CD161 inhibitory receptor is highly upregulated by tumor-infiltrating T cells in multiple human solid tumor types, and its ligand, CLEC2D, is expressed by both tumor cells and infiltrating myeloid cells. Here, we assessed the role of the CD161 receptor in hematological malignancies. Systematic analysis of CLEC2D expression using the Cancer Cell Line Encyclopedia revealed that CLEC2D messenger RNA was most abundant in hematological malignancies, including B-cell and T-cell lymphomas as well as lymphocytic and myelogenous leukemias. CLEC2D protein was detected by flow cytometry on a panel of cell lines representing a diverse set of hematological malignancies. We, therefore, used yeast display to generate a panel of high-affinity, fully human CD161 monoclonal antibodies (mAbs) that blocked CLEC2D binding. These mAbs were specific for CD161 and had a similar affinity for human and nonhuman primate CD161, a property relevant for clinical translation. A high-affinity CD161 mAb enhanced key aspects of T-cell function, including cytotoxicity, cytokine production, and proliferation, against B-cell lines originating from patients with acute lymphoblastic leukemia, diffuse large B-cell lymphoma, and Burkitt lymphoma. In humanized mouse models, this CD161 mAb enhanced T-cell-mediated immunity, resulting in a significant survival benefit. Single cell RNA-seq data demonstrated that CD161 mAb treatment enhanced expression of cytotoxicity genes by CD4 T cells as well as a tissue-residency program by CD4 and CD8 T cells that is associated with favorable survival outcomes in multiple human cancer types. These fully human mAbs, thus, represent potential immunotherapy agents for hematological malignancies.
Keyphrases
- endothelial cells
- single cell
- diffuse large b cell lymphoma
- rna seq
- acute lymphoblastic leukemia
- nk cells
- poor prognosis
- induced pluripotent stem cells
- flow cytometry
- long non coding rna
- machine learning
- binding protein
- dna methylation
- signaling pathway
- mouse model
- papillary thyroid
- monoclonal antibody
- genome wide
- deep learning
- high throughput
- mass spectrometry
- artificial intelligence
- combination therapy
- free survival
- medical students
- lymph node metastasis
- emergency medicine